Francesco Branda is a Ph.D. in Information and Communication Technologies (ICT) at the Department of Computer Science, Modeling, Electronics and Systems Engineering (DIMES) of the University of Calabria, Italy. His current research focuses on big data analysis, social media analysis, high performance computing, and machine learning. In particular, he has published several scientific papers in international conference and journals, in the following research topics:
He is also a member of DtoK Lab S.r.l, an academic spin-off of University of Calabria, and the Scalable Computing e Cloud Laboratory.
PhD in Information and Communication Technologies, 2023
University of Calabria
M.Sc. in Computer Engineering, 2019
University of Calabria
B.Sc. in Computer Engineering, 2016
University of Calabria
Deep learning has achieved great success in many areas recently. It has attained state-of-the-art performance in applications ranging from image classification and speech recognition to time series forecasting. The key success factors of deep learning are – big volumes of data, flexible models and ever-growing computing power. With the increase in the number of parameters and training data, it is observed that the performance of deep learning can be improved dramatically.